Vegas

UW CSE 573 Final Project

The Vegas project is a blackjack simulator along with a variety of learning-based and non learning-based agents capable of playing it. To get started, download the code and then run "python game.py --help" to see the required and optional arguments to the simulator. Agents must be specified via the -p flag, and all agents are contained in files ending with _agent, such as the QLearningAgent and ValueIterationAgent, which are contained in q_learning_agent.py and value_iteration_agent.py, respectively.

Name		Name	Last commit message	Last commit date
Latest commit History 67 Commits
.gitignore		.gitignore
README.md		README.md
ace_count_learning_agent.py		ace_count_learning_agent.py
actions.py		actions.py
agent.py		agent.py
blackjack_markov_decision_process.py		blackjack_markov_decision_process.py
card.py		card.py
card_test.py		card_test.py
compare_q_learners.py		compare_q_learners.py
count_learning_agent.py		count_learning_agent.py
count_learning_agent_test.py		count_learning_agent_test.py
dealer_agent.py		dealer_agent.py
dealer_agent_test.py		dealer_agent_test.py
deck.py		deck.py
deck_test.py		deck_test.py
game.py		game.py
game_state.py		game_state.py
game_test.py		game_test.py
hand.py		hand.py
hand_test.py		hand_test.py
human_agent.py		human_agent.py
markov_decision_process.py		markov_decision_process.py
no_bust_agent.py		no_bust_agent.py
q_learning_agent.py		q_learning_agent.py
reflex_agent.py		reflex_agent.py
standing_agent.py		standing_agent.py
value_iteration_agent.py		value_iteration_agent.py

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